Three-way conflict analysis model under agent-agent mutual selection environment.

Conflict analysis is an effective methodology for comprehensively analyzing conflicts. Utilizing Pawlak's rough set theory, the traditional conflict analysis model investigates the origins of conflict by evaluating agents' positions on various issues and provides feasible solutions to resolve conflicts. However, it predominantly centers on the conflicts within a single agent set and fails to address the case of conflicts between two agent sets under mutual selection environment (called agent-agent mutual selection), which also frequently appears in the real world. Different from the traditional conflict analysis model, in agent-agent mutual selection, conflicts not only originate between two agents within a set due to their common preference but also originate between two agent sets due to their attitudes on a pairing strategy. Therefore, the issue of agent-agent mutual selection requires simultaneously considering the preference of two agent sets. To study this problem, we propose a three-way conflict analysis model to analyze agent-agent mutual selection. The model not only reveals the internal causes of conflicts between two agents in a set but also explores the degree of conflict between two sets of agents. A method to minimize the conflict between two sets of agents is also designed by maximizing the satisfaction degree (SD) of the valid pairing. Experiments indicate that the satisfaction degree (SD) derived from the agent-agent conflict analysis model exceeds that of the agent-issue conflict analysis model. [ABSTRACT FROM AUTHOR]